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Articles published in Eur Radiol

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Single Articles


    October 2024
  1. LIBESMAN S, Li T, Marinovich ML, Seidler AL, et al
    Interval breast cancer rates for tomosynthesis vs mammography population screening: a systematic review and meta-analysis of prospective studies.
    Eur Radiol. 2024 Oct 3. doi: 10.1007/s00330-024-11085.
    PubMed     Abstract available


  2. HONDA M, Kataoka M
    Quantitative evaluation of breast lesions using ultrafast MRI has come so far.
    Eur Radiol. 2024;34:6283-6284.
    PubMed    


  3. BERG WA
    Why don't all women with extremely dense breasts want MRI screening?
    Eur Radiol. 2024;34:6332-6333.
    PubMed    


  4. BITENCOURT AGV
    The impact of AI implementation in mammographic screening: redefining dense breast screening practices.
    Eur Radiol. 2024;34:6296-6297.
    PubMed    


  5. VEENHUIZEN SGA, van Grinsven SEL, Laseur IL, Bakker MF, et al
    Re-attendance in supplemental breast MRI screening rounds of the DENSE trial for women with extremely dense breasts.
    Eur Radiol. 2024;34:6334-6347.
    PubMed     Abstract available


  6. KIM HJ, Kim HH, Kim KH, Lee JS, et al
    Use of a commercial artificial intelligence-based mammography analysis software for improving breast ultrasound interpretations.
    Eur Radiol. 2024;34:6320-6331.
    PubMed     Abstract available


  7. VANCOILLIE L, Cockmartin L, Lueck F, Marshall N, et al
    Optimized signal of calcifications in wide-angle digital breast tomosynthesis: a virtual imaging trial.
    Eur Radiol. 2024;34:6309-6319.
    PubMed     Abstract available


  8. BERGAN MB, Larsen M, Moshina N, Bartsch H, et al
    AI performance by mammographic density in a retrospective cohort study of 99,489 participants in BreastScreen Norway.
    Eur Radiol. 2024;34:6298-6308.
    PubMed     Abstract available


  9. AMITAI Y, Freitas VAR, Golan O, Kessner R, et al
    The diagnostic performance of ultrafast MRI to differentiate benign from malignant breast lesions: a systematic review and meta-analysis.
    Eur Radiol. 2024;34:6285-6295.
    PubMed     Abstract available


  10. GOULAM-HOUSSEIN S, Ye XY, Fleming R, Au F, et al
    Evaluating persistent T1-weighted lesions without concurrent abnormal enhancement on breast MRI in neoadjuvant chemotherapy patients: implications for complete pathological response.
    Eur Radiol. 2024;34:6273-6282.
    PubMed     Abstract available


    September 2024
  11. OZCAN BB, Wanniarachchi H, Mason RP, Dogan BE, et al
    Current status of optoacoustic breast imaging and future trends in clinical application: is it ready for prime time?
    Eur Radiol. 2024;34:6092-6107.
    PubMed     Abstract available


    August 2024
  12. VAN DER VOORT A, van der Hoogt KJJ, Wessels R, Schipper RJ, et al
    Correction: Diffusion-weighted imaging in addition to contrast-enhanced MRI in identifying complete response in HER2-positive breast cancer.
    Eur Radiol. 2024 Aug 13. doi: 10.1007/s00330-024-11008.
    PubMed    


  13. KLEIN WOLTERINK F, Ab Mumin N, Appelman L, Derks-Rekers M, et al
    Diagnostic performance of 3D automated breast ultrasound (3D-ABUS) in a clinical screening setting-a retrospective study.
    Eur Radiol. 2024;34:5451-5460.
    PubMed     Abstract available


  14. SCHIAFFINO S, Cozzi A, Clauser P, Giannotti E, et al
    Current use and future perspectives of contrast-enhanced mammography (CEM): a survey by the European Society of Breast Imaging (EUSOBI).
    Eur Radiol. 2024;34:5439-5450.
    PubMed     Abstract available


  15. PULIDO-CARMONA C, Romero-Martin S, Raya-Povedano JL, Cara-Garcia M, et al
    Interval cancer in the Cordoba Breast Tomosynthesis Screening Trial (CBTST): comparison of digital breast tomosynthesis plus digital mammography to digital mammography alone.
    Eur Radiol. 2024;34:5427-5438.
    PubMed     Abstract available


    July 2024
  16. FALLENBERG EM
    Implementing the advantages of contrast-enhanced mammography and contrast-enhanced breast MRI in breast cancer staging.
    Eur Radiol. 2024 Jul 12. doi: 10.1007/s00330-024-10896.
    PubMed    


  17. SARTOR H, Sturesdotter L, Larsson AM, Rosendahl AH, et al
    Mammographic features differ with body composition in women with breast cancer.
    Eur Radiol. 2024 Jul 12. doi: 10.1007/s00330-024-10937.
    PubMed     Abstract available


  18. VAN DER VOORT A, van der Hoogt KJJ, Wessels R, Schipper RJ, et al
    Diffusion-weighted imaging in addition to contrast-enhanced MRI in identifying complete response in HER2-positive breast cancer.
    Eur Radiol. 2024 Jul 5. doi: 10.1007/s00330-024-10857.
    PubMed     Abstract available


  19. DUIJM LEM
    Dense breasts at breast cancer screening: can DWI-based breast MRI without contrast help us in the pursuit of personalized screening?
    Eur Radiol. 2024;34:4727-4729.
    PubMed    


  20. WANG X, Jing L, Yan L, Wang P, et al
    A conditional inference tree model for predicting cancer risk of non-mass lesions detected on breast ultrasound.
    Eur Radiol. 2024;34:4776-4788.
    PubMed     Abstract available


  21. NISSAN N
    Pre-injection anticipation of artifacts in contrast-enhanced breast MRI: artificial intelligence harnessed for the aid once again.
    Eur Radiol. 2024;34:4750-4751.
    PubMed    


  22. CHEN C, Turco S, Kapetas P, Mann R, et al
    Spatiotemporal analysis of contrast-enhanced ultrasound for differentiating between malignant and benign breast lesions.
    Eur Radiol. 2024;34:4764-4773.
    PubMed     Abstract available


  23. LIEBERT A, Das BK, Kapsner LA, Eberle J, et al
    Smart forecasting of artifacts in contrast-enhanced breast MRI before contrast agent administration.
    Eur Radiol. 2024;34:4752-4763.
    PubMed     Abstract available


  24. GENNARO G, Povolo L, Del Genio S, Ciampani L, et al
    Using automated software evaluation to improve the performance of breast radiographers in tomosynthesis screening.
    Eur Radiol. 2024;34:4738-4749.
    PubMed     Abstract available


  25. WIELEMA M, Sijens PE, Pijnappel RM, De Bock GH, et al
    Image quality of DWI at breast MRI depends on the amount of fibroglandular tissue: implications for unenhanced screening.
    Eur Radiol. 2024;34:4730-4737.
    PubMed     Abstract available


    June 2024
  26. MORAN CJ
    Ready the treasure at our feet, MRI feature analysis in young women with breast cancer.
    Eur Radiol. 2024 Jun 19. doi: 10.1007/s00330-024-10840.
    PubMed    


  27. PEDICONI F, Maroncelli R, Pasculli M, Galati F, et al
    Performance of MRI for standardized lymph nodes assessment in breast cancer: are we ready for Node-RADS?
    Eur Radiol. 2024 Jun 12. doi: 10.1007/s00330-024-10828.
    PubMed     Abstract available


  28. EL KHOURY M, Mesurolle B
    Pre-operative MRI in patients with ductal carcinoma in situ: the ongoing debate.
    Eur Radiol. 2024;34:3967-3969.
    PubMed    


  29. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Preoperative breast MRI positively impacts surgical outcomes of needle biopsy-diagnosed pure DCIS: a patient-matched analysis from the MIPA study.
    Eur Radiol. 2024;34:3970-3980.
    PubMed     Abstract available


  30. WAUGH J, Evans J, Miocevic M, Lockie D, et al
    Performance of artificial intelligence in 7533 consecutive prevalent screening mammograms from the BreastScreen Australia program.
    Eur Radiol. 2024;34:3947-3957.
    PubMed     Abstract available


  31. KUHL J, Elhakim MT, Stougaard SW, Rasmussen BSB, et al
    Population-wide evaluation of artificial intelligence and radiologist assessment of screening mammograms.
    Eur Radiol. 2024;34:3935-3946.
    PubMed     Abstract available


  32. SKAANE P, Osteras BH, Yanakiev S, Lie T, et al
    Discordant and false-negative interpretations at digital breast tomosynthesis in the prospective Oslo Tomosynthesis Screening Trial (OTST) using independent double reading.
    Eur Radiol. 2024;34:3912-3923.
    PubMed     Abstract available


  33. KIM HJ, Choi WJ, Gwon HY, Jang SJ, et al
    Improving mammography interpretation for both novice and experienced readers: a comparative study of two commercial artificial intelligence software.
    Eur Radiol. 2024;34:3924-3934.
    PubMed     Abstract available


    May 2024
  34. CHAE EY, Jung MR, Cha JH, Shin HJ, et al
    A predictive model using MRI and clinicopathologic features for breast cancer recurrence in young women treated with upfront surgery.
    Eur Radiol. 2024 May 24. doi: 10.1007/s00330-024-10805.
    PubMed     Abstract available


  35. ALVAREZ-BENITO M
    Imaging evaluation of neoadjuvant breast cancer treatment: where do we stand?
    Eur Radiol. 2024 May 16. doi: 10.1007/s00330-024-10799.
    PubMed    


  36. FU Y, Lei YT, Huang YH, Mei F, et al
    Longitudinal ultrasound-based AI model predicts axillary lymph node response to neoadjuvant chemotherapy in breast cancer: a multicenter study.
    Eur Radiol. 2024 May 10. doi: 10.1007/s00330-024-10786.
    PubMed     Abstract available


  37. ZUIANI C, Mansutti I, Caronia G, Linda A, et al
    Added value of the EUSOBI diffusion levels in breast MRI.
    Eur Radiol. 2024;34:3352-3363.
    PubMed     Abstract available


  38. WANG L, Wang P, Shao H, Li J, et al
    Role of contrast-enhanced mammography in the preoperative detection of ductal carcinoma in situ of the breasts: a comparison with low-energy image and magnetic resonance imaging.
    Eur Radiol. 2024;34:3342-3351.
    PubMed     Abstract available


    April 2024
  39. YAN R, Murakami W, Mortazavi S, Yu T, et al
    Quantitative assessment of background parenchymal enhancement is associated with lifetime breast cancer risk in screening MRI.
    Eur Radiol. 2024 Apr 29. doi: 10.1007/s00330-024-10758.
    PubMed     Abstract available


  40. MARCON M, Fuchsjager MH, Clauser P, Mann RM, et al
    ESR Essentials: screening for breast cancer - general recommendations by EUSOBI.
    Eur Radiol. 2024 Apr 24. doi: 10.1007/s00330-024-10740.
    PubMed     Abstract available


  41. VEDANTHAM S
    Contrast-enhanced breast computed tomography: can lymph node metastasis be predicted from primary tumor?
    Eur Radiol. 2024;34:2574-2575.
    PubMed    


  42. XU Z, Lin Y, Huo J, Gao Y, et al
    A bimodal nomogram as an adjunct tool to reduce unnecessary breast biopsy following discordant ultrasonic and mammographic BI-RADS assessment.
    Eur Radiol. 2024;34:2608-2618.
    PubMed     Abstract available


  43. MAO C, Hu L, Jiang W, Qiu Y, et al
    Discrimination between human epidermal growth factor receptor 2 (HER2)-low-expressing and HER2-overexpressing breast cancers: a comparative study of four MRI diffusion models.
    Eur Radiol. 2024;34:2546-2559.
    PubMed     Abstract available


    March 2024
  44. CAMPS-HERRERO J, Pijnappel R, Balleyguier C
    MR-contrast enhanced mammography (CEM) for follow-up of breast cancer patients: a "pros and cons" debate.
    Eur Radiol. 2024 Mar 15. doi: 10.1007/s00330-024-10684.
    PubMed     Abstract available


  45. LOKAJ B, Pugliese MT, Kinkel K, Lovis C, et al
    Barriers and facilitators of artificial intelligence conception and implementation for breast imaging diagnosis in clinical practice: a scoping review.
    Eur Radiol. 2024;34:2096-2109.
    PubMed     Abstract available


  46. JING X, Dorrius MD, Zheng S, Wielema M, et al
    Localization of contrast-enhanced breast lesions in ultrafast screening MRI using deep convolutional neural networks.
    Eur Radiol. 2024;34:2084-2092.
    PubMed     Abstract available


    February 2024
  47. KOCH HW, Larsen M, Bartsch H, Martiniussen MA, et al
    How do AI markings on screening mammograms correspond to cancer location? An informed review of 270 breast cancer cases in BreastScreen Norway.
    Eur Radiol. 2024 Feb 23. doi: 10.1007/s00330-024-10662.
    PubMed     Abstract available


  48. SEKER ME, Koyluoglu YO, Ozaydin AN, Gurdal SO, et al
    Diagnostic capabilities of artificial intelligence as an additional reader in a breast cancer screening program.
    Eur Radiol. 2024 Feb 22. doi: 10.1007/s00330-024-10661.
    PubMed     Abstract available


  49. ZHENG S, Yang Z, Du G, Zhang Y, et al
    Discrimination between HER2-overexpressing, -low-expressing, and -zero-expressing statuses in breast cancer using multiparametric MRI-based radiomics.
    Eur Radiol. 2024 Feb 16. doi: 10.1007/s00330-024-10641.
    PubMed     Abstract available


  50. WANG Q, Lin Y, Ding C, Guan W, et al
    Multi-modality radiomics model predicts axillary lymph node metastasis of breast cancer using MRI and mammography.
    Eur Radiol. 2024 Feb 10. doi: 10.1007/s00330-024-10638.
    PubMed     Abstract available


  51. ZHAO S, Li Y, Ning N, Liang H, et al
    Association of peritumoral region features assessed on breast MRI and prognosis of breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2024 Feb 9. doi: 10.1007/s00330-024-10612.
    PubMed     Abstract available


  52. TONG Y, Hu Z, Wang H, Huang J, et al
    Anti-HER2 therapy response assessment for guiding treatment (de-)escalation in early HER2-positive breast cancer using a novel deep learning radiomics model.
    Eur Radiol. 2024 Feb 8. doi: 10.1007/s00330-024-10609.
    PubMed     Abstract available


  53. MULLEN LA
    Can digital breast tomosynthesis decrease interval cancers in a breast cancer screening program?
    Eur Radiol. 2024 Feb 6. doi: 10.1007/s00330-024-10635.
    PubMed    


  54. ZHANG T, Mann RM
    Contrast-enhanced mammography: better with AI?
    Eur Radiol. 2024;34:914-916.
    PubMed    


  55. XU J, Zhang L, Wen W, He Y, et al
    Evaluation of standard breast ultrasonography by adding two-dimensional and three-dimensional shear wave elastography: a prospective, multicenter trial.
    Eur Radiol. 2024;34:945-956.
    PubMed     Abstract available


  56. BARR RG
    Breast elastography: how does it works, and for what purposes?
    Eur Radiol. 2024;34:928-929.
    PubMed    


  57. PARTRIDGE GJW, Taib AG, Phillips P, James JJ, et al
    Take a break: should breaks be enforced during digital breast tomosynthesis reading sessions?
    Eur Radiol. 2024;34:1388-1398.
    PubMed     Abstract available


    January 2024
  58. DENG Y, Lu Y, Li X, Zhu Y, et al
    Prediction of human epidermal growth factor receptor 2 (HER2) status in breast cancer by mammographic radiomics features and clinical characteristics: a multicenter study.
    Eur Radiol. 2024 Jan 26. doi: 10.1007/s00330-024-10607.
    PubMed     Abstract available


  59. STEYEROVA P, Kaidar-Person O, Pinker K, Dubsky P, et al
    Breast cancer: evaluating the axilla before, during, and after therapy-new challenges.
    Eur Radiol. 2024 Jan 26. doi: 10.1007/s00330-024-10621.
    PubMed    


  60. AL-BAZZAZ H, Janicijevic M, Strand F
    Reader bias in breast cancer screening related to cancer prevalence and artificial intelligence decision support-a reader study.
    Eur Radiol. 2024 Jan 2. doi: 10.1007/s00330-023-10514.
    PubMed     Abstract available


  61. ZARIC O, Hatamikia S, George G, Schwarzhans F, et al
    AI-based time-intensity-curve assessment of breast tumors on MRI.
    Eur Radiol. 2024;34:179-181.
    PubMed    


  62. BARUFALDI B, Acciavatti RJ, Conant EF, Maidment ADA, et al
    Impact of super-resolution and image acquisition on the detection of calcifications in digital breast tomosynthesis.
    Eur Radiol. 2024;34:193-203.
    PubMed     Abstract available


  63. LIU Z, Yao B, Wen J, Wang M, et al
    Voxel-wise mapping of DCE-MRI time-intensity-curve profiles enables visualizing and quantifying hemodynamic heterogeneity in breast lesions.
    Eur Radiol. 2024;34:182-192.
    PubMed     Abstract available


  64. D'ANGELO A, Scardina L, Palma S, Cicero SL, et al
    Magnetic seed versus skin tattoo localization of non-palpable breast lesions: a single institution cohort study.
    Eur Radiol. 2024;34:149-154.
    PubMed     Abstract available


    December 2023
  65. RAYA-POVEDANO JL
    AI in breast cancer screening: a critical overview of what we know.
    Eur Radiol. 2023 Dec 21. doi: 10.1007/s00330-023-10530.
    PubMed    


  66. MANN RM
    Breast screening: "If you really want to see it, you just make an MRI".
    Eur Radiol. 2023;33:8410-8412.
    PubMed    


  67. LOBBES MBI
    Breast cancer screening in patients with intermediate risk using contrast-enhanced mammography.
    Eur Radiol. 2023;33:8407-8409.
    PubMed    


    November 2023
  68. ELIAS-CABOT E, Romero-Martin S, Raya-Povedano JL, Brehl AK, et al
    Impact of real-life use of artificial intelligence as support for human reading in a population-based breast cancer screening program with mammography and tomosynthesis.
    Eur Radiol. 2023 Nov 17. doi: 10.1007/s00330-023-10426.
    PubMed     Abstract available


  69. CHAN HP
    Potential of AI-assisted analysis of mammograms for extensive intraductal component in invasive breast cancer.
    Eur Radiol. 2023 Nov 16. doi: 10.1007/s00330-023-10449.
    PubMed    


  70. MOSHINA N, Backmann HA, Skaane P, Hofvind S, et al
    Mammographic features and risk of breast cancer death among women with invasive screen-detected cancer in BreastScreen Norway 1996-2020.
    Eur Radiol. 2023 Nov 8. doi: 10.1007/s00330-023-10369.
    PubMed     Abstract available


  71. COZZI A, Schiaffino S
    Preoperative breast MRI in women with dense breasts: can we keep up with a rapidly changing scenario?
    Eur Radiol. 2023;33:8077-8079.
    PubMed    


  72. MICHALOPOULOU E, Clauser P, Gilbert FJ, Pijnappel RM, et al
    A survey by the European Society of Breast Imaging on radiologists' preferences regarding quality assurance measures of image interpretation in screening and diagnostic mammography.
    Eur Radiol. 2023;33:8103-8111.
    PubMed     Abstract available


  73. RANGARAJAN K, Aggarwal P, Gupta DK, Dhanakshirur R, et al
    Deep learning for detection of iso-dense, obscure masses in mammographically dense breasts.
    Eur Radiol. 2023;33:8112-8121.
    PubMed     Abstract available


  74. JOHNSON K, Olinder J, Rosso A, Andersson I, et al
    False-positive recalls in the prospective Malmo Breast Tomosynthesis Screening Trial.
    Eur Radiol. 2023;33:8089-8099.
    PubMed     Abstract available


    October 2023
  75. TSAI HY, Kao YW, Wang JC, Tsai TY, et al
    Multitask deep learning on mammography to predict extensive intraductal component in invasive breast cancer.
    Eur Radiol. 2023 Oct 9. doi: 10.1007/s00330-023-10254.
    PubMed     Abstract available


  76. ZHU Y, Ma Y, Zhai Z, Liu A, et al
    Radiomics in cone-beam breast CT for the prediction of axillary lymph node metastasis in breast cancer: a multi-center multi-device study.
    Eur Radiol. 2023 Oct 2. doi: 10.1007/s00330-023-10256.
    PubMed     Abstract available


  77. KIM H, Choi JS, Kim K, Ko ES, et al
    Effect of artificial intelligence-based computer-aided diagnosis on the screening outcomes of digital mammography: a matched cohort study.
    Eur Radiol. 2023;33:7186-7198.
    PubMed     Abstract available


  78. SELLA T, Simor B, Adler-Levy Y, Maly B, et al
    MRI prediction of neoadjuvant chemotherapy response is equivalent in patients with or without mammographic calcifications: a step towards adapting surgical approach?
    Eur Radiol. 2023;33:7168-7177.
    PubMed     Abstract available


    September 2023
  79. CAI L, Sidey-Gibbons C, Nees J, Riedel F, et al
    Can multi-modal radiomics using pretreatment ultrasound and tomosynthesis predict response to neoadjuvant systemic treatment in breast cancer?
    Eur Radiol. 2023 Sep 14. doi: 10.1007/s00330-023-10238.
    PubMed     Abstract available


  80. MA J, Chen K, Li S, Zhu L, et al
    MRI-based radiomic models to predict surgical margin status and infer tumor immune microenvironment in breast cancer patients with breast-conserving surgery: a multicenter validation study.
    Eur Radiol. 2023 Sep 2. doi: 10.1007/s00330-023-10144.
    PubMed     Abstract available


  81. COZZI A, Di Leo G, Houssami N, Gilbert FJ, et al
    Screening and diagnostic breast MRI: how do they impact surgical treatment? Insights from the MIPA study.
    Eur Radiol. 2023;33:6213-6225.
    PubMed     Abstract available


  82. LI JK, Fu NQ, Wang B, Jiang Y, et al
    Conventional ultrasound combined with contrast-enhanced ultrasound: could it be helpful for the diagnosis of thoracic wall recurrence after mastectomy?
    Eur Radiol. 2023;33:6482-6491.
    PubMed     Abstract available


  83. COHEN EO, Korhonen KE, Sun J, Leung JWT, et al
    Comparison of prone and upright, stereotactic, and tomosynthesis-guided biopsies with secondary analysis of ultrasound-occult architectural distortions.
    Eur Radiol. 2023;33:6189-6203.
    PubMed     Abstract available


  84. GOODBURN R, Kousi E, Sanders C, Macdonald A, et al
    Quantitative background parenchymal enhancement and fibro-glandular density at breast MRI: Association with BRCA status.
    Eur Radiol. 2023;33:6204-6212.
    PubMed     Abstract available


    August 2023
  85. SASSI A, Salminen A, Jukkola A, Tervo M, et al
    Breast density and the likelihood of malignant MRI-detected lesions in women diagnosed with breast cancer.
    Eur Radiol. 2023 Aug 30. doi: 10.1007/s00330-023-10072.
    PubMed     Abstract available


  86. LI Z, Ma Q, Gao Y, Qu M, et al
    Diagnostic performance of MRI for assessing axillary lymph node status after neoadjuvant chemotherapy in breast cancer: a systematic review and meta-analysis.
    Eur Radiol. 2023 Aug 24. doi: 10.1007/s00330-023-10155.
    PubMed     Abstract available


  87. QIAN N, Jiang W, Guo Y, Zhu J, et al
    Breast cancer diagnosis from contrast-enhanced mammography using multi-feature fusion neural network.
    Eur Radiol. 2023 Aug 23. doi: 10.1007/s00330-023-10170.
    PubMed     Abstract available


  88. GUO Y, Xie X, Tang W, Chen S, et al
    Noninvasive identification of HER2-low-positive status by MRI-based deep learning radiomics predicts the disease-free survival of patients with breast cancer.
    Eur Radiol. 2023 Aug 19. doi: 10.1007/s00330-023-09990.
    PubMed     Abstract available


  89. HOTTAT NA, Badr DA, Ben Ghanem M, Besse-Hammer T, et al
    Assessment of whole-body MRI including diffusion-weighted sequences in the initial staging of breast cancer patients at high risk of metastases in comparison with PET-CT: a prospective cohort study.
    Eur Radiol. 2023 Aug 9. doi: 10.1007/s00330-023-10060.
    PubMed     Abstract available


  90. HONDA M, Iima M
    Is the breast ADC category system a useful addition to BI-RADS?
    Eur Radiol. 2023;33:5398-5399.
    PubMed    


  91. BICKEL H, Clauser P, Pinker K, Helbich T, et al
    Introduction of a breast apparent diffusion coefficient category system (ADC-B) derived from a large multicenter MRI database.
    Eur Radiol. 2023;33:5400-5410.
    PubMed     Abstract available


    July 2023
  92. DU Y, Cai M, Zha H, Chen B, et al
    Ultrasound radiomics-based nomogram to predict lymphovascular invasion in invasive breast cancer: a multicenter, retrospective study.
    Eur Radiol. 2023 Jul 31. doi: 10.1007/s00330-023-09995.
    PubMed     Abstract available


  93. SEXAUER R, Hejduk P, Borkowski K, Ruppert C, et al
    Diagnostic accuracy of automated ACR BI-RADS breast density classification using deep convolutional neural networks.
    Eur Radiol. 2023;33:4589-4596.
    PubMed     Abstract available


    June 2023
  94. MALHAIRE C, Selhane F, Saint-Martin MJ, Cockenpot V, et al
    Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy.
    Eur Radiol. 2023 Jun 15. doi: 10.1007/s00330-023-09797.
    PubMed     Abstract available


  95. OHASHI A, Kataoka M, Iima M, Honda M, et al
    A multiparametric approach to predict triple-negative breast cancer including parameters derived from ultrafast dynamic contrast-enhanced MRI.
    Eur Radiol. 2023 Jun 8. doi: 10.1007/s00330-023-09730.
    PubMed     Abstract available


  96. NISSAN N, Anaby D, Mahameed G, Bauer E, et al
    Ultrafast DCE-MRI for discriminating pregnancy-associated breast cancer lesions from lactation related background parenchymal enhancement.
    Eur Radiol. 2023 Jun 6. doi: 10.1007/s00330-023-09805.
    PubMed     Abstract available


  97. BORDE T, Wu M, Ruschke S, Boehm C, et al
    Assessing breast density using the chemical-shift encoding-based proton density fat fraction in 3-T MRI.
    Eur Radiol. 2023;33:3810-3818.
    PubMed     Abstract available


    May 2023
  98. GIORGI ROSSI P
    Excluding specificity from research and development priorities is delaying the AI adoption in breast cancer screening.
    Eur Radiol. 2023 May 23. doi: 10.1007/s00330-023-09733.
    PubMed    


  99. CARMONA-BOZO JC, Manavaki R, Miller JL, Brodie C, et al
    PET/MRI of hypoxia and vascular function in ER-positive breast cancer: correlations with immunohistochemistry.
    Eur Radiol. 2023 May 11. doi: 10.1007/s00330-023-09572.
    PubMed     Abstract available


    April 2023
  100. BA R, Wang X, Zhang Z, Li Q, et al
    Diffusion-time dependent diffusion MRI: effect of diffusion-time on microstructural mapping and prediction of prognostic features in breast cancer.
    Eur Radiol. 2023 Apr 18. doi: 10.1007/s00330-023-09623.
    PubMed     Abstract available


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